Image Reconstruction Using Combination Deterministic and Stochastic Method
This paper proposes a new algorithm based on the combination of deterministic and stochastic methods to be used to obtain the best results of a reconstruction process of the surface conductivity distribution. The images of the electrical surface conductivity distribution can be reconstructed from voltage measurement captured on the boundaries of an object. The image reconstruction problem is an ill-posed inverse problem of finding such surface conductiv-ity that minimizes the suitable optimisation criterion. The advantages of a new approach are compared with properties of deterministic and stochastic approaches during the same image re-constructions. It will be shown that proposed algorithm is a very effective way to obtain the satisfying identification of cracks in special structures called honeycombs.
J.D(e)dková
Department of Theoretical and Experimental Electrical Engineering Brno University of Technology Kolejni 2906/4,Brno 612 00,Czech Republic
国际会议
Progress in Electromagnetics Research Symposium 2008(2008年电磁学研究新进展学术研讨会)(PIERS 2008)
杭州
英文
1-4
2008-03-24（万方平台首次上网日期，不代表论文的发表时间）